R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

From no-frills graphics to adding color and labeling your data, here's what you need to know.

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable ...

William H. Baltosser, Data acquisition, visualization, and analysis using R, Ecology, Vol. 95, No. 11 (November 2014), pp. 3232-3234 ...

Improving the quality of data visualizations can help in communicating results more clearly and transparently to other scientists, stakeholders and the general public. This course will use a workshop ...

Easy-to-use mapping tools give researchers the power to create beautiful visualizations of geographic data.

Observable released use case-based Templates, providing a rich, collaborative canvas to easily explore data and create interactive visuals.